AI Engineer – GenAI & Cloud (f/m/x)

At least 4 years in software or ML engineering, with hands-on experience shipping AI/ML systems to production, Strong Python skills — not just scripting, but writing maintainable, tested code for production services, Practical experience with AI/ML frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent, Working knowledge of at least one major cloud platform (Azure, AWS, or GCP) and its AI/ML services, Experience with vector databases, embedding models, and retrieval systems in real-world applications, Familiarity with MLOps fundamentals: model versioning, experiment tracking, CI/CD for ML, and monitoring, Ability to work autonomously while collaborating effectively with architects, data engineers, and product teams, Fluent English (both written and spoken), Experience fine-tuning LLMs (LoRA, QLoRA) or working with model training pipelines, Background in classical ML — scikit-learn, XGBoost, time series forecasting, or recommendation systems, Experience with containerized deployments (Docker, Kubernetes) and infrastructure-as-code, Contributions to open-source AI/ML projects or published technical writing